MICRO RAMAN SPECTROSCOPIC ANALYSIS OF LOBULAR CARCINOMA TISSUES

Ambili Reveendran; Sanoj Varghese; Senthil Kumar V; Venkatesan Ranganathan; Karthikeyan Tm

doi:10.22159/ajpcr.2018.v11i9.26805

Authors

Ambili Reveendran Department of Physics, Karpagam Academy of Higher Education, Coimbatore, Tamil Nadu, India.
Sanoj Varghese Department of Physics, Karpagam Academy of Higher Education, Coimbatore, Tamil Nadu, India.
Senthil Kumar V Department of Physics, Karpagam Academy of Higher Education, Coimbatore, Tamil Nadu, India.
Venkatesan Ranganathan Department of Oncology, Karpagam Faculty of Medical Science and Research, Coimbatore, Tamil Nadu, India.
Karthikeyan Tm Department of Pathology, Karpagam Faculty of Medical Science and Research, Coimbatore, Tamil Nadu, India.

DOI:

https://doi.org/10.22159/ajpcr.2018.v11i9.26805

Keywords:

Breast cancer, Raman spectroscopy, K-means clustering, Relative intensity, Lobular Carcinoma

Abstract

Objective: For the past 20 decades, vibrational spectroscopy based studies are undergoing around the world to detect cancer at the earliest stage. Since vibrational spectroscopic techniques have the ability to measure the biochemical changes occur during the time of mutation, which may be the reason for cell proliferation. Biochemical changes may appear in the tissues and blood before the tumor formation. The objective of this work is to study the potential of Raman spectroscopy to detect biochemical changes in the normal and malignant tissues.

Methods: In this research work, 10 Raman spectra were acquired from ex vivo samples of human breast tissue (normal and lobular carcinoma) of 10 patients after the removal during prophylactic mastectomy surgery and biopsy. Data analysis was performed using k-means clustering using SPSS and intensity ratio analysis.

Result: Intensity variation in the Raman spectra of normal and malignant tissues clearly indicate that Raman spectra are capable to distinguish between normal and malignant tissues. A number of peaks are more in the case of malignant tissues and the presence of amide I and amide III indicate the predominance of protein in malignant tissues. Intensity ratio analysis and K-means clustering analysis also show the significance of protein in lobular carcinoma tissues.

Conclusion: This research work proves the potential of Raman spectroscopy to differentiate between the normal breast tissues and lobular carcinoma tissues.

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Author Biographies

Ambili Reveendran, Department of Physics, Karpagam Academy of Higher Education, Coimbatore, Tamil Nadu, India.

Department of Physics

Research Scholar

Sanoj Varghese, Department of Physics, Karpagam Academy of Higher Education, Coimbatore, Tamil Nadu, India.

Research Scholar

Department of Physics

Senthil Kumar V, Department of Physics, Karpagam Academy of Higher Education, Coimbatore, Tamil Nadu, India.

Professor and Head

Department Of Physics

Venkatesan Ranganathan, Department of Oncology, Karpagam Faculty of Medical Science and Research, Coimbatore, Tamil Nadu, India.

Assistant Professor,

Department of Oncology

Karthikeyan Tm, Department of Pathology, Karpagam Faculty of Medical Science and Research, Coimbatore, Tamil Nadu, India.

Professor and Head

Department of Pathology

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